The Tool Desk
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MCP security is the practice of protecting the AI host, MCP client, connected servers, credentials, data, and network paths as one system. The Model Context Protocol (MCP) lets an AI application use server-provided tools, resources, and prompts; it does not make those tools safe or create a security boundary. A secure review therefore checks both the server software and the way the AI application is allowed to use it.
What MCP security protects
An MCP server can expose capabilities to a host through a client connection. The host may use the model to select a tool and supply arguments, while the server performs an action using permissions granted by the user or deployment. That chain creates risk at several points: the server’s code and dependencies, its tool definitions, the model’s interpretation of those definitions and returned content, the client’s authorization decisions, and the credentials and data available to the system.
MCP tool names, descriptions, parameter schemas, and results should all be treated as untrusted input. Even an approved server can return hostile content, and tool definitions can change after review. Security controls must therefore be enforced by trusted application code and deployment policy—not by instructions to the model alone.
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Local and remote connections
Local stdio servers and remote Streamable HTTP servers have different exposure profiles. A local server may inherit access to the machine and files available to its process; a remote server adds a network service and its authentication and transport risks. OWASP’s MCP Security Cheat Sheet, reviewed October 7, 2026, says the older HTTP+SSE transport is deprecated. Check the current MCP specification when implementing or auditing a transport because protocol details can change.
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Common MCP attacks and failure modes
OWASP’s MCP Top 10 groups risks into ten categories. It describes the list as a living beta/pilot framework, not a measured ranking of incident frequency or likelihood.
| Risk category | What can go wrong |
|---|---|
| Token mismanagement and secret exposure | Shared, long-lived, or exposed credentials can give an attacker access beyond the task or server that needed them. |
| Privilege escalation through scope creep | A server or tool receives broader access than its function requires, making misuse or compromise more consequential. |
| Tool poisoning | Instructions hidden in tool names, descriptions, parameter schemas, or results attempt to steer the model into unsafe actions. |
| Software supply-chain attacks and dependency tampering | Compromised packages, dependencies, maintainers, or update paths can introduce malicious behavior into an otherwise trusted server. |
| Command injection and execution | Model-influenced arguments reach shell commands or other execution paths without safe construction and validation. |
| Prompt injection through contextual payloads | Retrieved pages, files, or other content contain instructions that attempt to override the user’s intent or redirect tool use. |
| Insufficient authentication and authorization | A service accepts callers or actions without reliably verifying identity and checking whether that identity is permitted to act. |
| Lack of audit and telemetry | Missing or incomplete records make it difficult to detect suspicious activity or reconstruct what happened. |
| Shadow MCP servers | Unapproved or unmanaged servers operate outside the organization’s inventory and security controls. |
| Context injection and over-sharing | Shared or persistent context can expose information across tasks or agents, or influence later activity with content from an earlier task. |
Related attack patterns
A rug pull occurs when a server changes its advertised tool definitions after review. A tool-shadowing or cross-server escalation risk arises when metadata from one connected server influences the model’s use of tools on another. A confused deputy problem occurs when a server acts with broad authority that is not appropriate to the particular request. URL-fetching tools can also be abused for server-side request forgery (SSRF) or data egress, while unsafe file paths can expose files beyond the intended scope.
OWASP’s guidance puts the core trust boundary plainly: “Treat every tool response as untrusted data, including responses from approved servers.” Filtering may help flag suspicious content, but it cannot prove that the remaining text is safe.
How to scan and review MCP servers
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Inventory every server and consumer
Record local and remote servers, their owners, configured commands or endpoints, transport, versions, exposed tools, credentials, accessible data, and consuming clients. Include developer-installed and otherwise unmanaged servers; these are easy to miss if the inventory covers only centrally deployed services.
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Vet the source and launch path
Review the source repository, maintainers, package provenance, dependencies, requested permissions, and exact startup command. Establish whether the server is vendor-hosted or internally operated. Pin exact package versions or container image digests rather than floating references such as
latest. -
Inspect tool definitions and changes
Review every tool name, description, parameter, and return schema. Flag irrelevant or hidden instructions, unexpectedly broad capabilities, weakly constrained strings, and unexpected destinations. Compare definitions against the reviewed baseline whenever a server changes. OWASP names
mcp-scanas an example for detecting poisoned descriptions and cross-server shadowing; treat its output as a signal to investigate, not a safety guarantee. Hashing definitions can reveal metadata changes, but cannot detect changed code or behavior behind an unchanged schema. -
Run conventional software and configuration checks
Use dependency and software-composition analysis on server code, scan configuration for exposed secrets, and review code that constructs commands, handles files, fetches URLs, authenticates callers, authorizes actions, isolates sessions, and handles errors. These checks cover risks that a tool-description scanner does not.
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Test in containment
Use a disposable environment or restricted container or virtual machine, with limited filesystem mounts, no production credentials, and only necessary network egress. Test untrusted or suspicious servers in isolation. Do not use a production agent with broad access as the scanner’s test harness.
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Enforce runtime policy outside the model
Deny actions by default and explicitly allow the tools and arguments a task needs. Validate tool inputs and outputs in trusted code. Require confirmation that displays the full parameters before destructive, financial, data-sharing, or external-network actions. Apply server-side authorization and use narrow OAuth scopes, per-server identities, and short-lived, scoped credentials where applicable.
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Monitor activity and rescan changes
Centralize logs somewhere the agent cannot alter them. Record identity, session, tool call, and resulting action without logging secret values. Alert on newly discovered servers, unusual destinations, credential-file reads, bulk access, and changed tool definitions. Rescan after changes to versions, dependencies, configuration, permissions, or schemas.
What an MCP scanner can—and cannot—tell you
Different checks cover different surfaces. Metadata analysis can flag suspicious descriptions or cross-server shadowing; dependency analysis can identify known issues in packages; configuration and secret scanning can find risky settings or exposed credentials; code review can identify unsafe command, file, URL, and authorization paths. Runtime monitoring can show what the deployed system actually did.
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Guidance dates and scope
OWASP’s secure MCP server development guide is dated February 16, 2026, and its third-party MCP server guide is dated November 4, 2025. The MCP Top 10 is a living beta/pilot project. The MCP Security Cheat Sheet and DevSecOps guideline were reviewed October 7, 2026. Treat protocol and tool details as subject to change and consult the current official specification and guidance when configuring a deployment.
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